Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
The deal moves Synopsys’ ARC processor IP and ASIP Designer/Programmer tools to GF’s MIPS business, while Synopsys keeps interface and foundation IP and leans further into AI-era engineering.
As AI breaks the networking playbook and data centers hit the power wall, the optics industry enters a chaotic “2003 moment.” Mark Grodzinsky explores why the lessons of Wi-Fi will define the winners of the AI era.
AI demand is tightening HDD and NAND supply—and prices may follow. VAST is betting on flash reclamation and KV-cache persistence as storage starts acting more like memory.
The deal moves Synopsys’ ARC processor IP and ASIP Designer/Programmer tools to GF’s MIPS business, while Synopsys keeps interface and foundation IP and leans further into AI-era engineering.
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As AI breaks the networking playbook and data centers hit the power wall, the optics industry enters a chaotic “2003 moment.” Mark Grodzinsky explores why the lessons of Wi-Fi will define the winners of the AI era.
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Deterministic wireless is becoming the nervous system of AI. As robots and XR scale, “best effort” turns into business risk—and networks must deliver predictable, identity-driven, secure performance.
Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.
By fusing Ansys simulation with NVIDIA AI, Synopsys is industrializing the design of software-defined vehicles, helping automakers slash prototype costs and launch new platforms up to a year faster.
Allyson Klein predicts inference spreading from cloud to edge, agentic oversight reshaping ops, privacy battles intensifying, scientific computing facing brain drain, and quantum finally breaking through.
Deploying the future: At CES 2026, the Arm ecosystem is delivering AI from the cloud to the front lines—powering mobility, robotics, and personal computing with fast, efficient, on-device intelligence.
AI cuts design time 70%, software architecture separates winners from losers, and subsidy rollbacks mask an unstoppable electric shift. Legacy automakers face the challenges of adapting in 2026.
Deterministic wireless is becoming the nervous system of AI. As robots and XR scale, “best effort” turns into business risk—and networks must deliver predictable, identity-driven, secure performance.
Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.
Allyson Klein predicts inference spreading from cloud to edge, agentic oversight reshaping ops, privacy battles intensifying, scientific computing facing brain drain, and quantum finally breaking through.
Deploying the future: At CES 2026, the Arm ecosystem is delivering AI from the cloud to the front lines—powering mobility, robotics, and personal computing with fast, efficient, on-device intelligence.
RackRenew remanufactures OCP compliant-infrastructure into certified, warranty-backed assemblies—standardized, tested, and ready to deploy for faster capacity without bespoke engineering.
These data-infrastructure shifts will determine which enterprises scale AI in 2026, from real-time context and agentic guardrails to governance, efficiency, and a more resilient data foundation.
Arm’s OCP board seat and new FCSA spec push chiplet interoperability from idea to implementation—enabling mix-and-match silicon and smarter storage so teams can build AI without hyperscaler budgets.
Xeon 6 marries P-cores, E-cores, and scalable memory to feed data-hungry HPC workloads, eliminating bandwidth bottlenecks so spectral sims and other memory-bound codes can finally scale.
By fusing Ansys simulation with NVIDIA AI, Synopsys is industrializing the design of software-defined vehicles, helping automakers slash prototype costs and launch new platforms up to a year faster.
AI cuts design time 70%, software architecture separates winners from losers, and subsidy rollbacks mask an unstoppable electric shift. Legacy automakers face the challenges of adapting in 2026.
Veteran technologist and TechArena Voice of Innovation Robert Bielby reflects on a career spanning hardware, product strategy, and marketing — and shares candid insights on innovation, AI, and the future of the automotive industry.
Bradbrook shares principles behind Antillion’s edge platforms—usability, fast iteration, real-world testing—and why the metric that matters most is durable value: tech that still works a decade later.
In this Data Insights episode, Andrew De La Torre discusses how Oracle is leveraging AIOps to enable automation and optimize operations, transforming the future of telecom.
In this episode of In the Arena, Palo Alto Networks’ Dharminder Debisarun explores the challenges of securing smart industries, preventing attacks, and staying ahead in an evolving threat landscape.
MWC is more than flashy demos—it’s where the future of AI, edge, and network automation takes shape. From agentic AI to fraud detection and public safety, these innovations are redefining real-world impact.
Silicon innovation is moving fast to meet AI’s growing demands. At MWC, industry leaders from AMD, Arm, Intel & more tackled edge AI, efficiency, and the urgency of accelerating AI in 5G networks.
Equinix’s Glenn Dekhayser and Solidigm’s Scott Shadley discuss how power, cooling, and cost considerations are causing enterprises to embrace co-location among their AI infrastructure strategies.
Despite regulatory confusion slowing innovation, AI-driven ESG tools are gaining traction as corporations race to meet evolving compliance demands and data transparency expectations.
As shifting regulations disrupt environmental, social and governance efforts, AI and advanced data analytics emerge as key drivers of progress, offering opportunities for scalable, impactful ESG strategies.
In this blog post, Cognizant's Vernon Turner explains Sustainable IT, stressing app efficiency to cut emissions. As AI expands, IT energy demands may double, making sustainable practices crucial.
Allyson Klein predicts inference spreading from cloud to edge, agentic oversight reshaping ops, privacy battles intensifying, scientific computing facing brain drain, and quantum finally breaking through.
Deploying the future: At CES 2026, the Arm ecosystem is delivering AI from the cloud to the front lines—powering mobility, robotics, and personal computing with fast, efficient, on-device intelligence.
By delivering AI performance with one-sixth the hardware footprint, PEAK:AiO is redefining software-defined storage to make scalable AI infrastructure more affordable, efficient, and open.
AI-driven offense, autonomous defense, and new insider threats are converging fast. These three cyber revolutions show how machine intelligence will reshape enterprise security strategies in 2026.
In 2025, the internet’s fragility and AI’s complexity collided in public. The big vendors responded by buying the pieces they need to sell the integrated story that they have AI risk under control.
In Part 2 of Matty Bakkeren’s 2026 predictions series, he explores how regulation, sovereignty, and public trust will push data centers to behave more like utilities than tech projects.
RackRenew remanufactures OCP compliant-infrastructure into certified, warranty-backed assemblies—standardized, tested, and ready to deploy for faster capacity without bespoke engineering.
These data-infrastructure shifts will determine which enterprises scale AI in 2026, from real-time context and agentic guardrails to governance, efficiency, and a more resilient data foundation.
Arm’s OCP board seat and new FCSA spec push chiplet interoperability from idea to implementation—enabling mix-and-match silicon and smarter storage so teams can build AI without hyperscaler budgets.
Xeon 6 marries P-cores, E-cores, and scalable memory to feed data-hungry HPC workloads, eliminating bandwidth bottlenecks so spectral sims and other memory-bound codes can finally scale.
Open models move fast—but production doesn’t forgive surprises. Lynn Comp maps how to pair open-source AI with a solid CPU foundation and orchestration to scale from pilot to platform.
What modern storage really means, how on-prem arrays compare to first-party cloud services, and a clear checklist to pick the right fit for cost, control, scalability, and resilience.
AI cuts design time 70%, software architecture separates winners from losers, and subsidy rollbacks mask an unstoppable electric shift. Legacy automakers face the challenges of adapting in 2026.
Veteran technologist and TechArena Voice of Innovation Robert Bielby reflects on a career spanning hardware, product strategy, and marketing — and shares candid insights on innovation, AI, and the future of the automotive industry.
Bradbrook shares principles behind Antillion’s edge platforms—usability, fast iteration, real-world testing—and why the metric that matters most is durable value: tech that still works a decade later.
By blending rugged design with Solidigm’s high-density SSDs, Antillion is redefining what’s possible in disconnected, real-time environments.
Multi-modal generative AI is transforming ADAS with compute-heavy LLMs, driving demand for HBM and memory safety to enable smarter, more human-like, and safer automotive navigation.
Part 1 of a series: Once tech followers, vehicles now lead the charge in advanced memory and storage, reshaping semiconductors with demands for speed, security, and software-defined performance.
In this Data Insights episode, Andrew De La Torre discusses how Oracle is leveraging AIOps to enable automation and optimize operations, transforming the future of telecom.
In this episode of In the Arena, Palo Alto Networks’ Dharminder Debisarun explores the challenges of securing smart industries, preventing attacks, and staying ahead in an evolving threat landscape.
MWC is more than flashy demos—it’s where the future of AI, edge, and network automation takes shape. From agentic AI to fraud detection and public safety, these innovations are redefining real-world impact.
Silicon innovation is moving fast to meet AI’s growing demands. At MWC, industry leaders from AMD, Arm, Intel & more tackled edge AI, efficiency, and the urgency of accelerating AI in 5G networks.
AI, 5G, and network automation are reshaping telecom. In this episode, Keate Despain discusses anticipated trends at MWC 2025, from edge computing to the road to 6G, and what’s next for network innovation.
Explore how Accenture and Oracle are revolutionizing the telco industry with their new all-in-one BSS solution, enabling cloud-native innovation, AI integration, and new revenue opportunities for service providers.
Equinix’s Glenn Dekhayser and Solidigm’s Scott Shadley discuss how power, cooling, and cost considerations are causing enterprises to embrace co-location among their AI infrastructure strategies.
Despite regulatory confusion slowing innovation, AI-driven ESG tools are gaining traction as corporations race to meet evolving compliance demands and data transparency expectations.
As shifting regulations disrupt environmental, social and governance efforts, AI and advanced data analytics emerge as key drivers of progress, offering opportunities for scalable, impactful ESG strategies.
In this blog post, Cognizant's Vernon Turner explains Sustainable IT, stressing app efficiency to cut emissions. As AI expands, IT energy demands may double, making sustainable practices crucial.
Jonathan Koomey of Koomey Analytics shares insights on AI’s role in energy efficiency, sustainability, and the tech sector’s potential to address climate challenges in this must-listen episode.
Allyson Klein and Roy Chua, founder & principal of AvidThink, explore AI-driven networking, sustainability challenges, energy efficiency, and more in this insightful episode, recorded at OCP Summit 2024.
